Global evolution of the tumor microenvironment associated with progression from preinvasive invasive to invasive human lung adenocarcinoma
To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography (CT)-defined groups. Pure non-solid (pNS) CT density nodules contain preinvasive/minimally invasive cancers, and solid density nodules contain invasive...
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Published in | Cell reports (Cambridge) Vol. 39; no. 1; p. 110639 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
05.04.2022
Elsevier |
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Online Access | Get full text |
ISSN | 2211-1247 2211-1247 |
DOI | 10.1016/j.celrep.2022.110639 |
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Abstract | To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography (CT)-defined groups. Pure non-solid (pNS) CT density nodules contain preinvasive/minimally invasive cancers, and solid density nodules contain invasive cancers. Profiling data reveal a dynamic interaction between the tumor and its TME throughout progression. Alterations in genes regulating the extracellular matrix and genes regulating fibroblasts are central at the preinvasive state. T cell-mediated immune suppression is initiated in preinvasive nodules and sustained with rising intensity through progression to invasive tumors. Reduced T cell infiltration of the cancer cell nests is more frequently associated with preinvasive cancers, possibly until tumor evolution leads to a durable, viable invasive phenotype accompanied by more varied and robust immune suppression. Upregulation of immune checkpoints occurs only in the invasive nodules. Throughout progression, an effector immune response is present but is effectively thwarted by the immune-suppressive elements.
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•Non-solid CT density lung adenocarcinomas are predominantly pre/minimally invasive•Immune-suppressive Tregs are increased in non-solid nodules•ECM genes are increased in non-solid nodules, implicating fibroblasts activation•Increased immune suppression parallels progression to invasion
CT-scan-identified lung nodules present a significant clinical challenge. Altorki et al. define characteristics, both immune-context and microenvironment features, distinguishing normal lung, preinvasive, and invasive nodules. By capturing early features of disease progression, they inform future interception strategies and identify key questions to be investigated in mechanistic studies. |
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AbstractList | To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography (CT)-defined groups. Pure non-solid (pNS) CT density nodules contain preinvasive/minimally invasive cancers, and solid density nodules contain invasive cancers. Profiling data reveal a dynamic interaction between the tumor and its TME throughout progression. Alterations in genes regulating the extracellular matrix and genes regulating fibroblasts are central at the preinvasive state. T cell-mediated immune suppression is initiated in preinvasive nodules and sustained with rising intensity through progression to invasive tumors. Reduced T cell infiltration of the cancer cell nests is more frequently associated with preinvasive cancers, possibly until tumor evolution leads to a durable, viable invasive phenotype accompanied by more varied and robust immune suppression. Upregulation of immune checkpoints occurs only in the invasive nodules. Throughout progression, an effector immune response is present but is effectively thwarted by the immune-suppressive elements.
CT-scan-identified lung nodules present a significant clinical challenge. Altorki et al. define characteristics, both immune-context and microenvironment features, distinguishing normal lung, preinvasive, and invasive nodules. By capturing early features of disease progression, they inform future interception strategies and identify key questions to be investigated in mechanistic studies. To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography (CT)-defined groups. Pure non-solid (pNS) CT density nodules contain preinvasive/minimally invasive cancers, and solid density nodules contain invasive cancers. Profiling data reveal a dynamic interaction between the tumor and its TME throughout progression. Alterations in genes regulating the extracellular matrix and genes regulating fibroblasts are central at the preinvasive state. T cell-mediated immune suppression is initiated in preinvasive nodules and sustained with rising intensity through progression to invasive tumors. Reduced T cell infiltration of the cancer cell nests is more frequently associated with preinvasive cancers, possibly until tumor evolution leads to a durable, viable invasive phenotype accompanied by more varied and robust immune suppression. Upregulation of immune checkpoints occurs only in the invasive nodules. Throughout progression, an effector immune response is present but is effectively thwarted by the immune-suppressive elements. To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography (CT)-defined groups. Pure non-solid (pNS) CT density nodules contain preinvasive/minimally invasive cancers, and solid density nodules contain invasive cancers. Profiling data reveal a dynamic interaction between the tumor and its TME throughout progression. Alterations in genes regulating the extracellular matrix and genes regulating fibroblasts are central at the preinvasive state. T cell-mediated immune suppression is initiated in preinvasive nodules and sustained with rising intensity through progression to invasive tumors. Reduced T cell infiltration of the cancer cell nests is more frequently associated with preinvasive cancers, possibly until tumor evolution leads to a durable, viable invasive phenotype accompanied by more varied and robust immune suppression. Upregulation of immune checkpoints occurs only in the invasive nodules. Throughout progression, an effector immune response is present but is effectively thwarted by the immune-suppressive elements.To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography (CT)-defined groups. Pure non-solid (pNS) CT density nodules contain preinvasive/minimally invasive cancers, and solid density nodules contain invasive cancers. Profiling data reveal a dynamic interaction between the tumor and its TME throughout progression. Alterations in genes regulating the extracellular matrix and genes regulating fibroblasts are central at the preinvasive state. T cell-mediated immune suppression is initiated in preinvasive nodules and sustained with rising intensity through progression to invasive tumors. Reduced T cell infiltration of the cancer cell nests is more frequently associated with preinvasive cancers, possibly until tumor evolution leads to a durable, viable invasive phenotype accompanied by more varied and robust immune suppression. Upregulation of immune checkpoints occurs only in the invasive nodules. Throughout progression, an effector immune response is present but is effectively thwarted by the immune-suppressive elements. To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography (CT)-defined groups. Pure non-solid (pNS) CT density nodules contain preinvasive/minimally invasive cancers, and solid density nodules contain invasive cancers. Profiling data reveal a dynamic interaction between the tumor and its TME throughout progression. Alterations in genes regulating the extracellular matrix and genes regulating fibroblasts are central at the preinvasive state. T cell-mediated immune suppression is initiated in preinvasive nodules and sustained with rising intensity through progression to invasive tumors. Reduced T cell infiltration of the cancer cell nests is more frequently associated with preinvasive cancers, possibly until tumor evolution leads to a durable, viable invasive phenotype accompanied by more varied and robust immune suppression. Upregulation of immune checkpoints occurs only in the invasive nodules. Throughout progression, an effector immune response is present but is effectively thwarted by the immune-suppressive elements. [Display omitted] •Non-solid CT density lung adenocarcinomas are predominantly pre/minimally invasive•Immune-suppressive Tregs are increased in non-solid nodules•ECM genes are increased in non-solid nodules, implicating fibroblasts activation•Increased immune suppression parallels progression to invasion CT-scan-identified lung nodules present a significant clinical challenge. Altorki et al. define characteristics, both immune-context and microenvironment features, distinguishing normal lung, preinvasive, and invasive nodules. By capturing early features of disease progression, they inform future interception strategies and identify key questions to be investigated in mechanistic studies. |
ArticleNumber | 110639 |
Author | Elemento, Olivier Bhinder, Bhavneet Mittal, Vivek McGraw, Timothy E. Groner, Lauren K. Harrison, Sebron Borczuk, Alain C. Altorki, Nasser K. |
AuthorAffiliation | 4 Department of Pathology, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA 3 Meyer Cancer Center, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA 9 Senior author 10 Lead contact 1 Department of Cardiothoracic Surgery, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA 2 Neuberger Berman Foundation Lung Cancer Research Center, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA 8 Department of Biochemistry, Weill Cornell Medicine, New York, NY 10068, USA 5 Department of Radiology, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA 6 Caryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10068, USA 7 Department of Cell Biology, Weill Cornell Medicine New York, NY 10068, USA |
AuthorAffiliation_xml | – name: 5 Department of Radiology, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – name: 9 Senior author – name: 6 Caryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10068, USA – name: 7 Department of Cell Biology, Weill Cornell Medicine New York, NY 10068, USA – name: 2 Neuberger Berman Foundation Lung Cancer Research Center, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – name: 3 Meyer Cancer Center, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – name: 1 Department of Cardiothoracic Surgery, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – name: 10 Lead contact – name: 4 Department of Pathology, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – name: 8 Department of Biochemistry, Weill Cornell Medicine, New York, NY 10068, USA |
Author_xml | – sequence: 1 givenname: Nasser K. surname: Altorki fullname: Altorki, Nasser K. email: nkaltork@med.cornell.edu organization: Department of Cardiothoracic Surgery, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – sequence: 2 givenname: Alain C. orcidid: 0000-0001-6807-8064 surname: Borczuk fullname: Borczuk, Alain C. organization: Meyer Cancer Center, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – sequence: 3 givenname: Sebron surname: Harrison fullname: Harrison, Sebron organization: Department of Cardiothoracic Surgery, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – sequence: 4 givenname: Lauren K. surname: Groner fullname: Groner, Lauren K. organization: Department of Radiology, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – sequence: 5 givenname: Bhavneet surname: Bhinder fullname: Bhinder, Bhavneet organization: Caryl and Israel Englander Institute for Precision Medicine, Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10068, USA – sequence: 6 givenname: Vivek surname: Mittal fullname: Mittal, Vivek organization: Department of Cardiothoracic Surgery, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – sequence: 7 givenname: Olivier surname: Elemento fullname: Elemento, Olivier organization: Meyer Cancer Center, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA – sequence: 8 givenname: Timothy E. orcidid: 0000-0001-9748-263X surname: McGraw fullname: McGraw, Timothy E. email: temcgraw@med.cornell.edu organization: Department of Cardiothoracic Surgery, Weill Cornell Medicine and NY Presbyterian Hospital, New York, NY 10068, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35385730$$D View this record in MEDLINE/PubMed |
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Keywords | lung ground glass lesions Tregs CP: Cancer tumor microenvironment CT scan density GGO extracellular matrix preinvasive lung adenocarcinoma |
Language | English |
License | This is an open access article under the CC BY-NC-ND license. Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 N.K.A. conceptualized the project, contributed to experimental design, performed analysis and interpretations, and wrote the manuscript. A.C.B. contributed to experimental design and data analyses and edited the manuscript. S.H. reviewed and scored the CT data. L.G. reviewed and scored the CT data. B.B. contributed to analyses of the RNA-seq data. V.M. contributed to experimental design and edited the manuscript. O.E. contributed to experimental design and edited the manuscript. T.E.M. conceptualized the project, contributed to experimental design, performed analysis and interpretation, and wrote the manuscript AUTHOR CONTRIBUTIONS |
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Snippet | To investigate changes in the tumor microenvironment (TME) during lung cancer progression, we interrogate tumors from two chest computed tomography... |
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StartPage | 110639 |
SubjectTerms | Adenocarcinoma - pathology Adenocarcinoma of Lung - genetics CP: Cancer CT scan density extracellular matrix GGO Humans lung ground glass lesions Lung Neoplasms - pathology Neoplasm Invasiveness - pathology preinvasive lung adenocarcinoma Retrospective Studies Tregs Tumor Microenvironment |
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Title | Global evolution of the tumor microenvironment associated with progression from preinvasive invasive to invasive human lung adenocarcinoma |
URI | https://dx.doi.org/10.1016/j.celrep.2022.110639 https://www.ncbi.nlm.nih.gov/pubmed/35385730 https://www.proquest.com/docview/2648066179 https://pubmed.ncbi.nlm.nih.gov/PMC9033258 https://doaj.org/article/173c102807e94bf980b2287099c20a2d |
Volume | 39 |
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